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flyerhzm avatar

flyerhzm/rails_best_practices

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4,166 stars·272 forks·Ruby·MIT·16 viewsrails-bestpractices.com↗

Rails Best Practices

This project is a static analysis tool and linter for Ruby on Rails designed to identify architectural smells and violations of best practices. It serves as a code quality linter, architectural auditor, security scanner, and performance analyzer for Rails applications.

The tool evaluates the separation of concerns between controllers, models, and view templates to reduce technical debt. It identifies suboptimal coding patterns and enforces stylistic consistency, while specifically scanning for security vulnerabilities such as unprotected mass assignment in models.

The analysis surface covers the detection of inefficient database queries and memory-heavy data retrieval patterns. It also audits routing design, validates record persistence, and identifies improper error handling and timezone misconfigurations.

Users can manage the analysis by defining which code checks to enable or disable via a configuration file.

Features

  • Rails Code Quality Analysis - Evaluates the maintainability and design patterns of Rails models, controllers, and routes to reduce technical debt.
  • Static Analysis Engines - Implements a static analysis engine that parses source code into ASTs to identify architectural smells and pattern violations.
  • Code Quality Analyzers - Analyzes source code for architectural smells and suboptimal patterns to enforce project quality standards.
  • Rails Query Profilers - Profiles and detects database query inefficiencies specifically within the Ruby on Rails framework.
  • Database Query Optimizations - Identifies inefficient associations and applies selection criteria to reduce database memory usage.
  • Database Performance Optimizers - Identifies inefficient migration and query patterns to reduce resource consumption on large datasets.
  • Memory-Optimized Data Retrieval - Optimizes data retrieval for large datasets using streaming and batched finders to minimize memory overhead.
  • Model Performance Analyzers - Analyzes data model associations and database access to optimize transformation efficiency and response speed.
  • Code Linters - Identifies suboptimal coding patterns and enforces stylistic consistency as a static analysis linter.
  • Ruby Linting Rules - Evaluates Ruby on Rails code against a comprehensive set of predefined best practices to detect maintainability issues.
  • Ruby Style Enforcement - Ensures consistent coding standards, naming conventions, and whitespace usage across the codebase.
  • Batch Data Processing - Processes large datasets in chunks to prevent memory exhaustion during data retrieval.
  • Mass Assignment Prevention - Verifies the use of attribute protection to prevent unauthorized data modification via mass assignment.
  • Rails Security Auditors - Audits Ruby on Rails applications for framework-specific security risks such as mass assignment.
  • Rails Security Scanning - Performs static analysis tailored for the Ruby on Rails framework to detect security vulnerabilities.
  • Model - Provides automated auditing of model configurations to detect unauthorized attribute modification vulnerabilities.
  • Security Vulnerability Scanning - Analyzes source code to detect common security flaws and vulnerabilities within the application.
  • Source Code Security Analysis - Performs static analysis on source code to detect security vulnerabilities like unprotected mass assignment.
  • Ruby Static Analysis - Scans Ruby on Rails source code to identify architectural smells, bugs, and best practice violations.
  • Static Analysis Security Testing - Performs static analysis on model and controller definitions to detect security vulnerabilities like unprotected mass assignment.
  • Anti-Pattern Heuristics - Uses specific code signatures to identify Rails anti-patterns like generic exception rescuing or unsafe parameter modification.
  • Architectural Pattern Analysis - Evaluates model implementations for adherence to design patterns to reduce technical debt and coupling.
  • Codebase Pattern Enforcements - Checks for violations of design principles and the proper separation of concerns across the codebase.
  • Data Access Patterns - Identifies complex finders in controllers and suggests the use of named scopes for better data access.
  • Linting Rule Configurations - Defines which code checks to enable or disable via a configuration file.
  • Rails Architectural Auditing - Evaluates the separation of concerns between controllers, models, and view templates in Rails applications.
  • Rails Performance Auditing - Detects inefficient database queries and memory-heavy retrieval patterns to improve application response times.
  • General Resource Bottleneck Detection - Identifies performance bottlenecks across memory and database access patterns to improve response times.
  • Code Quality and Review - Performs static analysis of model organization and namespaces to maintain project clarity.
  • Code Quality Tools - Analyzes source code against design patterns to identify bugs and architectural smells.
  • Schema Refinements - Merges and refines SQL alter statements to reduce the time required to modify large tables.
  • Web Page Caching - Implements server-side caching of full HTML page outputs to reduce application load.
  • Time Zone Management - Identifies usage of standard time classes instead of zone-aware methods to ensure consistency.
  • Default Time Zone Settings - Identifies uses of system time instead of local time zones to ensure consistent timestamping across environments.
  • Whitespace Enforcement - Identifies tabs and trailing whitespace to ensure a uniform code style.
  • Indentation Enforcement - Detects the use of tab characters to ensure consistent spacing across different editors.
  • Persistence Return Value Validation - Analyzes save operations to ensure return values are checked or exceptions are raised upon failure.
  • Exception Misuse Detection - Identifies code that rescues generic exception classes instead of standard errors to prevent system signal suppression.
  • Broad Exception Detection - Detects instances where broad exception classes are rescued to prevent the suppression of system signals.
  • Asynchronous Task Offloading - Moves resource-intensive processing to background queues to prevent delaying the user response.
  • Code Duplication Analysis - Identifies repeated code patterns across controller actions to suggest the use of shared filters.
  • Coding Standards Enforcement - Checks for stylistic inconsistencies like mixed whitespace to ensure codebase uniformity.
  • Linting Rule Configurations - Provides a centralized configuration system to enable or disable specific architectural and code quality checks.
  • Controller Logic Analysis - Identifies duplicated code across controller actions to suggest the use of base controllers.
  • Exception Handling Analysis - Inspects rescue blocks to ensure only standard errors are caught to prevent the suppression of system exceptions.
  • Exception Handling Analysis - Analyzes error handling blocks to ensure only standard errors are caught to prevent suppression of system exceptions.
  • Behavioral Naming Analysis - Ensures model methods follow business-oriented naming conventions rather than technical implementation details.
  • Function Result Memoization - Caches the output of expensive functions based on input arguments to avoid redundant computation.
  • Naming Conventions - Analyzes method names to ensure they follow intuitive patterns and avoid redundant descriptors.
  • Parameter Mutation Detection - Identifies instances where request parameters are modified directly to prevent loss of original request data.
  • Responsibility Auditing - Checks for complex object creation in controllers and suggests moving logic into model factories.
  • Routing Architecture Analysis - Evaluates routing files to identify over-customized actions and excessive nesting.
  • Routing Performance Analysis - Detects resources that define unused actions and suggests restricting them to improve routing speed.
  • Silent Failure Detection - Detects database save operations that fail silently by ignoring return values.
  • Logic Decoupling - Evaluates the separation of business logic from side effects to maintain a decoupled architecture.
  • Timezone Management - Identifies instances where system time is used instead of local time zones to ensure consistent temporal data.
  • View Logic Extraction - Moves complex calculations from view templates into helper methods to maintain separation of concerns.
  • Custom Validation Rules - Creates project-specific validation rules to enforce unique coding standards.
  • Persistence Validations - Analyzes save operations to ensure return values are checked and data actually persists in the database.
  • Route Validation - Verifies that application URL paths correctly map to handlers and identifies security risks in routing.
  • AST Extraction - Extracts abstract syntax trees from Ruby source code to perform structural analysis and quantify architectural coupling.
  • Page Speed Optimizations - Optimizes frontend loading speed by reorganizing script placement and using cookie-free asset hosts.
  • Parameter Integrity Auditing - Checks for direct modification of request parameters to prevent data loss during processing.
  • Parameter Modification Detection - Detects modifications to original request parameters to ensure data integrity during processing.
  • Route Organization - Identifies overly complex route files and suggests splitting namespaces into separate files.
  • Route Optimization - Restricts the number of automatically generated routes to improve routing performance and reduce unnecessary endpoints.

Star history

Star history chart for flyerhzm/rails_best_practicesStar history chart for flyerhzm/rails_best_practices

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does flyerhzm/rails_best_practices do?

This project is a static analysis tool and linter for Ruby on Rails designed to identify architectural smells and violations of best practices. It serves as a code quality linter, architectural auditor, security scanner, and performance analyzer for Rails applications.

What are the main features of flyerhzm/rails_best_practices?

The main features of flyerhzm/rails_best_practices are: Rails Code Quality Analysis, Static Analysis Engines, Code Quality Analyzers, Rails Query Profilers, Database Query Optimizations, Database Performance Optimizers, Memory-Optimized Data Retrieval, Model Performance Analyzers.

Which projects share features with flyerhzm/rails_best_practices?

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